Title :
An innovative energy predictive process planning tool for assembly automation systems
Author :
Mus´ab H. Ahmad;Bilal Ahmad;Daniel Vera;Robert Harrison
Author_Institution :
Automation Systems Group, WMG, the University of Warwick Coventry, United Kingdom
Abstract :
This paper proposes a framework to enable a proactive approach to energy consumption prediction and optimisation that can be utilised from the design phase thus offering significant advantages over existing reactive approaches. The framework integrates energy modelling and management techniques at component and system levels using the modelling capabilities of virtual engineering tools. For proof of concept demonstration, a case study of a pick-and-place automatic workstation is presented. An energy consumption optimisation is achieved by optimising components motion control and reconfiguring the workstation. In the case study, a number of experiments were conducted to compare alternative designs against the original one. Results showed significant energy saving (up to 57% of the original design) by redefining the motion profiles and cycle time in a more optimised form.
Keywords :
"Energy consumption","Optimization","Biological system modeling","Mathematical model","Industries","Manufacturing systems"
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
DOI :
10.1109/IECON.2015.7392914